Python

Tutorial on uploading Files with Flask | Python

Introduction So, basically, Flask is a web development framework which is written in Python, and it is widely used as a web framework for creating APIs (Application Programming Interfaces) or it is a micro web framework that allows developers to build web applications quickly and easily. Python-Flask Request In Python-Flask the request module is an object that …

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ColumnTransformer in Scikit-Learn for Data Preprocessing

The ColumnTransformer in Scikit-Learn is a powerful tool for applying different preprocessing steps to specific columns of your dataset. This is particularly useful when working with datasets that contain mixed data types (e.g., numerical and categorical features) and require separate preprocessing pipelines for different types of data. Key Features 1. Apply Different Transformers to Different …

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Find company website URL from company name in Python

Finding a company’s website URL from its name can be approached in several ways in Python, utilizing APIs, web scraping, or leveraging search engines like Google. Below, I will demonstrate how you can use different techniques to retrieve a company’s website URL programmatically, focusing on a method that combines Python libraries and APIs for a …

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Add Euler Mascheroni Constant to Each Element of a NumPy Array

To add the Euler-Mascheroni constant (approximately 0.57721) to each element of a NumPy array, we can use NumPy’s broadcasting feature. Broadcasting allows you to perform element-wise operations between arrays of different shapes and sizes, including scalar values (like the Euler-Mascheroni constant) and arrays. Add Euler Mascheroni Constant to Each Element of a NumPy Array in …

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How to Perform HTTP Requests in Python Using the requests Linbary

How to Perform HTTP Requests in Python Using the Requests Library. Python Requests provide inbuilt functionalities for managing both URLs. Python requests offer inbuilt functionalities to manage both the request and response. The requests module has several built-in methods for making HTTP requests to specified URLs using GET, POST, PUT, PATCH, or HEAD requests. An …

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ColumnTransformer in Scikit-Learn for Data Preprocessing

ColumnTransformer in Scikit-Learn is very robust tool for doing operation on different subsets of features in dataset. In this tutorial we will learn how to use it. Steps: Import necessary libraries Create sample dataset Define transformations Apply ColumnTransformer Import necessary libraries from sklearn.compose import ColumnTransformer from sklearn.preprocessing import StandardScaler, OneHotEncoder from sklearn.impute import SimpleImputer from …

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Data wrangling using Pandas

Data wrangling is process of preparing raw data for analysis. It involves cleaning, structuring and enriching of raw data. It is also known as data preprocessing. Pandas is great tool which provides with all the features required for data preprocessing. The process includes: Data Cleaning Data Transformation Data Integration Data Filtering Data Validation Data Formatting …

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